Abstract Wind is one of the complex climatic variables whose changes can affect climatic characteristics on a global, regional and local scale. Although this variable is one of the important factors in climate change, it has rarely been studied to detect climate change.
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Abstract Wind is one of the complex climatic variables whose changes can affect climatic characteristics on a global, regional and local scale. Although this variable is one of the important factors in climate change, it has rarely been studied to detect climate change. The purpose of this study is to analyze the temporal-spatial Distribution of surface wind speed in the geographical area of Iran (1982- 2019). For this purpose, the mean hourly, daily and monthly average wind speed data for the MERRA-2 model were used. The results show that there are fluctuations in wind speed and the trend was accompanied by an increase of 0.2 m / s. Statistical analysis also showed significant differences in time and location. Among the months, the highest average wind speeds occurred in the months (June, July and August) and the lowest in the months (October, November, December and January) and among the seasons the highest and lowest occurred in summer and winter. Locally, the highest intensity and persistence of wind current in eastern Iran and central Iran. Regression relationship between wind speed and temperature and pressure variables showed that wind speed is directly related to temperature (R = 81%) and inversely related to pressure (R = - 70%).
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